This type of subscription is actually kiiiiinda understandable because the company has to maintain servers, staff and keep the software secure because they're handling sensitive data such as location etc.
I also remember that BMW I think? Had a heated seat subscription and that's really not justifiable imo
NGL withdrawal during a natural disaster sounds pretty ducking dangerous.
It's simple, if a restaurant adds something to the bill I did not agree to beforehand I'll never eat there again.
Lemme interrupt you, what You're referring to is actually a funny little penguin in combination with a wildebeest.
Hehehehe
With 0.92% of electrified rail it's a joke to say that NGL. Absolute numbers are meaningless.
You have to see it into perspective per area then you'll get to feel how dense and therefore useful the rail network actually is. Because what good is a rail network if you can't reach your desired location.
And then you'll see that swiss, Germany and Luxembourg for example end up with less than 10 square km per km of rail while the usa has around 40.
Well blocking these calls obviously inflates the numbers due to retries.
Sam just had the strength to resist the ring.
He didn't crave for power, but only for food and peace.
Ich finds ja witzig wie der Ansporn ist mehr Kinder zu zeugen, während es jetzt schon nicht ordentlich klappt Schulkapazität bereitzustellen.
Und dabei ist das eigentlich Recht leicht abzuschätzen wie viel Kitaplätze man in ungefähr 6 Jahren benötigen wird...
I can comprehend this better than the parking wasteland in the city. Here the land was cheap.
Where even the train stations are literally surrounded by highways and parking lots. The amount of valuable easily reachable space wasted for parking infrastructure blows my mind.
As a full stack developer I switched to a different company with about 30% less pay but 50% more creative freedom.
Best decision of my life.
All you need to do, is figure out a way to use electro magnetic radiation to slow down particles.
It's just a small technical challenge.
I wrote an ai that classifies spam emails with 99.9% accuracy.
Our test set contained 1000 emails, 999 aren't spam.
The algorithm: